Remote Technical Risk and Odds Analyst

Summary

Join Sporty as a Technical Risk and Odds Analyst, working closely with Tech & Product teams to bring trading, technical, and mathematical acumen to support wider teams on bet validation and settlement spaces. Analyze betting patterns, make recommendations, collaborate with global teams, and participate in monitoring and optimizing risk management processes.

Requirements

• Degree in Computer Science, Mathematics or a related field
• Sportsbook industry experience, understanding trading issues and betting concepts is essential
• Understanding of quantitative models and mathematical concepts
• Translate product demands into technical requirements within sports betting/risk management context and clearly define expectations for developers
• Backend technology experience is preferable including reading and understanding of backend codebases; programming fundamentals expertise (at least 1 object oriented language), database modeling and APIs
• Excellent communication and presentation skills to convey complex risk management concepts to developers and/or traders
• Experience working with large data sets, statistical data analysis, predictive modeling is considered an advantage
• Proven experience working with numbers and risk management tools as well as analyzing and interpreting financial data
• Strong analytical mindset with a keen eye for detail

Responsibilities

• Analyze betting patterns and performance to identify potential vulnerabilities and areas of opportunity
• Make recommendations to improve the internal trading tools whilst working closely with internal stakeholders
• Collaboration with teams to ensure constant innovation in improve pricing and risk management products as a whole
• Collaborate with global teams of Product Managers and Developers to understand business requirements and provide accurate translations to aid the transformation of excellent products
• Participate in monitoring and optimizing risk management processes from a technical perspective to recommend improvements and best practices
• Investigate issues by troubleshooting, analyzing codebase, inspecting logs etc
• Act as second level of technical support to in-house Trading team
• Gather, review and analyze business and industry data, including KPIs, financial reports and other key metrics using data analytics tools

Benefits

• Quarterly and flash bonuses
• Flexible hours outside of core hours (10am-3pm)
• Top-of-the-line equipment
• Referral bonuses
• 28 days paid annual leave
• Annual company retreat